E-Commerce
Predict | Personalize | Sell
With the increase in customer expectations and competition, eCommerce has to cater to individual customers rather than the mass market
AIFA helps retailers make personalized offers and bundle sales promotions that will most likely compel customers to buy.
AIFA’s Smart Recommendations enables shoppers to discover complimentary products showing customers what they most likely want; this improves customer’s experience and the chances of a sale.
AIFA’s Intelligent Demand Planner, powered by 100+ algorithms, lets you predict demand for different styles, silhouettes, colours, materials, etc.
Initially, forecasters would attend shows, take notes on the trends which designers had chosen for the upcoming fashion year, and create trend reports. But in today’s aggressive fashion industry, a more proactive approach is needed.
Deals are personalized and have time sensitivity that varies from customer to customer.
Poor lead prioritization can ravage companies. Sales targets get missed, teams get demoralized.
With Predictive Lead Scoring, sales personnel will spend more time on leads that are likely to convert, resulting in increased deal closures.
To survive the competition, eCommerce needs to understand its customer’s preferences.
AIFA helps e-commerce learn actual sources of customer satisfaction and dissatisfaction.
E-Commerce businesses combine analytics and decision making, helping improving marketing effectiveness.
Most times, pre-qualified potential buyers fall through the inevitable cracks. Businesses are wasting customer data, sitting idle. This data, if leveraged, could be used to enhance the sales cycle.
AIFA’s technology arms e-commerce businesses with the timely Intelligence required to solve their business challenges such as lead generation.
AIFA can verify A/B testing results to recognize bogus positives among user actions that lead to conversion.
AIFA helps you design a user-friendly website structure and layout to make it easy for users to navigate through.